Band 8 NHS Data Architect/Designer (Google Cloud)

Salt
Cardiff
1 month ago
Applications closed

Related Jobs

View all jobs

NHS - Data Engineer Band 6

Principal Data Engineer

Senior Pricing Manager

Senior Pricing Manager

Senior Pricing Manager

Senior Pricing Manager

Band 8 NHS Data Architect/Designer (Google Cloud) Rate: £236 per day Inside IR35 Duration: Initial 6 Months (Rolling) Location: Cardiff, Wales.

Below covers everything you need to know about what this opportunity entails, as well as what is expected from applicants.

Hybrid- 1 day onsite per week.

A healthcare client is seeking a Band 8 NHS Data Architect/Designer to play a key role in defining and implementing the technical architecture of the National Data and Analytics Platform (NDAP) .

This role will focus on designing scalable, secure, and high-performance cloud-based data solutions to support healthcare analytics and decision-making.

Key Responsibilities Define and implement technical strategies, architectures, and data models on Google Cloud Platform.

Lead the design and delivery of cloud-based data engineering, DevOps, and automation solutions .

Collaborate with data scientists, analysts, and engineering teams to establish best practices.

Ensure security, compliance, and performance of cloud-based data solutions.

Guide and mentor teams, fostering a culture of technical excellence and innovation .

Drive the adoption of architectural principles and data governance standards .

Essential Skills and Experience Proven experience as a Data Architect/Designer working on large-scale cloud data projects .

Strong expertise in Google Cloud Platform (GCP) for data and analytics.

Ability to define technical roadmaps, architectural best practices, and governance frameworks .

Hands-on experience in data engineering, DevOps, and cloud automation .

Strong understanding of data modelling, metadata management, and data governance .

Ability to engage with technical and non-technical stakeholders , providing clear architectural direction.

Desired Qualifications Google Professional Cloud Architect AWS Certified Data Analytics- Specialty Microsoft Certified: Azure Data Engineer Google Professional Data Engineer Databricks Certifications How to Apply To be considered for this role please submit your updated CV .

Rates depend on experience and client requirements

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers Jobs

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Careers

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Jobs

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.